1 / 21

American Heart Association Scientific Sessions – November 5, 2007

Bleeding in Patients Undergoing Percutaneous Coronary Interventions: A Risk Model From 302,152 Patients in the NCDR. Sameer K. Mehta MD, Andrew D. Frutkin MD, Sunil V. Rao MD, Fang–Shu Ou MS, Eric D. Peterson MD, MPH, John A. Spertus MD, MPH, Steven P. Marso MD, on behalf of the NCDR

ekevin
Download Presentation

American Heart Association Scientific Sessions – November 5, 2007

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Bleeding in Patients Undergoing Percutaneous Coronary Interventions: A Risk Model From 302,152 Patients in the NCDR. Sameer K. Mehta MD, Andrew D. Frutkin MD, Sunil V. Rao MD, Fang–Shu Ou MS, Eric D. Peterson MD, MPH, John A. Spertus MD, MPH, Steven P. Marso MD, on behalf of the NCDR The Mid America Heart Institute and Duke Clinical Research Institute. American Heart Association Scientific Sessions – November 5, 2007

  2. Presenter Disclosure Information Sameer K. Mehta MD et al. Bleeding in Patients Undergoing Percutaneous Coronary Interventions: A Predictive Model From 302,152 Patients in the NCDR. No authors report any disclosures or conflicts of interest.

  3. Bleeding and PCI The incidence of major bleeding in patients undergoing PCI is as high as 5%. Bleeding events have been associated with an increased incidence of adverse outcomes, including death, MI, and stroke. A tool that helps physicians assess the risk of bleeding in PCI patients may allow physicians to individualize antithrombotic and antiplatelet therapy while mitigating the risk of bleeding. Goodman et al. Circulation 2003. Eikelboom et al. Circulation 2007. Rao et al. American Journal of Cardiology 2005.

  4. Aims To determine the risk factors of bleeding in a large, contemporary, real-world cohort of patients undergoing PCI. To develop a risk model for bleeding. To test the validity of this risk model in clinically important subgroups.

  5. Methods Version 3.04 of NCDR Cath-PCI Registry Contains data from PCI procedures performed from Jan. 1, 2004 to March 31, 2006 at over 600 U.S. hospitals. Exclusions: - Non-index PCI - Patients who died same day as PCI - Patients with missing bleeding data - Centers that did not report any bleeding events

  6. Methods (2) Final study population: 302,152 patients 302,152 PCI procedures 440 U.S. hospitals Determined predictors of bleeding with generalized estimating equation models. Models adjusted for age, sex, weight, GFR, PCI status, presence of ACS, cardiogenic shock, intra-aortic balloon pump treatment, history of MI, diabetes, cerebrovascular disease, peripheral vascular disease, hypertension, COPD, prior PCI, NYHA class, prior valve surgery, Caucasian, prior CHF, smoker, family history of CAD, EF, dyslipidemia, prior CABG, and CHF.

  7. Methods (3) Risk model training set. 241,512 patients (80% of total) Risk model validation set 60,640 patients (20% of total) Variable selection via backward selection and clinical judgment Goodness of fit determined by calibration plot Discrimination assessed by c-statistic Risk model tested in various clinically meaningful subgroups

  8. NCDR Bleeding Definitions Primary Endpoint: Bleeding from any source Percutaneous entry site: during hospitalization; transfusion and/or cause a drop in hemoglobin >3.0 g/dl; hematoma >10cm for femoral access, >2cm for radial access, or >5cm for brachial access. Retroperitoneal: transfusion and/or cause a drop in hemoglobin >3.0 g/dl.

  9. NCDR Bleeding Definitions (2) GI: transfusion and/or cause a drop in hemoglobin >3.0 g/dl. GU: transfusion and/or cause a drop in hemoglobin >3.0 g/dl. Other/Unknown: During hospitalization transfusion and/or cause a drop in hemoglobin >3.0 g/dl.

  10. Select Baseline Characteristics

  11. Results Incidence of Bleeding in Training Set 2.5%

  12. Risk Factors for Bleeding- Adjusted Analysis All p values <0.001

  13. Risk Factors for Bleeding- Adjusted Analysis

  14. Overall Model Predicted Bleeding (%) N= 60,640 C Statistic =0.73 Observed Bleeding (%)

  15. Subgroup Analyses Predicted Bleeding (%) N= 30,872 C Statistic =0.72 N= 9,130 C Statistic =0.70 Observed Bleeding (%)

  16. Elective PCI Patients Predicted Bleeding (%) N= 29,733 C Statistic =0.67 Observed Bleeding (%)

  17. Antithrombotic Therapy Unfractionated Heparin plus IIb/IIIa Unfractionated Heparin Predicted Bleeding (%) N= 22,666 C Statistic =0.72 N=24,969 C Statistic =0.73 Observed Bleeding (%)

  18. Antithrombotic Therapy Low Molecular Weight Heparin Direct Thrombin Inhibitors Predicted Bleeding (%) N= 10,108 C Statistic =0.68 N= 19,316 C Statistic =0.73 Observed Bleeding (%)

  19. Conclusions Identified risk factors for bleeding in PCI patients Developed a risk model that predicted the risk of bleeding in patients undergoing PCI Model performed well in various clinically important subgroups

  20. Limitations Bleeding definitions differ between NCDR and TIMI/ GUSTO Low reported incidence of bleeding events

  21. Future Directions Risk Score for Bleeding. Implementation of predictive model/ risk score into randomized studies of patients undergoing PCI.

More Related